This analysis highlights the potential of phase change memory to enhance machine learning and artificial intelligence, suggesting it may improve performance.
As artificial intelligence (AI) and machine learning (ML) push the limits of conventional computing architectures, the need for high-speed, energy-efficient, and scalable memory technologies has become paramount.
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Mishra et al. (2025) studied this question.
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